Articles | Volume 8, issue 12
https://doi.org/10.5194/amt-8-5089-2015
https://doi.org/10.5194/amt-8-5089-2015
Research article
 | 
08 Dec 2015
Research article |  | 08 Dec 2015

Automatic volcanic ash detection from MODIS observations using a back-propagation neural network

T. M. Gray and R. Bennartz

Viewed

Total article views: 2,695 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,528 1,065 102 2,695 337 97 93
  • HTML: 1,528
  • PDF: 1,065
  • XML: 102
  • Total: 2,695
  • Supplement: 337
  • BibTeX: 97
  • EndNote: 93
Views and downloads (calculated since 19 Aug 2015)
Cumulative views and downloads (calculated since 19 Aug 2015)

Cited

Discussed (preprint)

Latest update: 07 May 2024
Download
Short summary
Volcanic ash poses a serious threat to aircraft traffic. A simple neural-network based technique was developed to detect volcanic ash from space using satellite infrared observations. A validation study shows promising results for several individual case studies. Issues remain near the edge of the satellite's field of view as well as in situations where ash is mixed with meteorological clouds.